Time Series Forecasting Portfolio
Time series forecasting project from data preprocessing to prediction model
- Difficulty
- Medium
- Estimated time
- 10-12 hours
Skills
- Time Series Analysis
- Classical Models
- ML Forecasting
Intermediate · course 3 of 3
Machine Learning – Time Series Forecasting
Master time series analysis and prediction using classical models to machine learning for forecasting.
- videos
- 24
- sections
- 5
- portfolio project
- 1
- free videos
- 3
The Scientify programme is led by Jihar Gifari.
5 sections · 24 videos
What's inside, section by section.
Videos marked Free play right now, no account needed.
Free video · 1/3
Introduction to Time Series Data Part 1
Section 1 · Introduction to Time Series Data
Free videos in this course
01Introduction to Time Series Data9 videos · 1 free
Introduction to time series data: characteristics, components (trend, seasonality, residual), and time series visualization techniques.
- 1Introduction to Time Series Data Part 1
- 2Introduction to Time Series Data Part 2
- 3Introduction to Time Series Data Part 3
- 4Introduction to Time Series Data Part 4
- 5Introduction to Time Series Data Part 5
- 6Introduction to Time Series Data Part 6
- 7Introduction to Time Series Data Part 7
- 8Introduction to Time Series Data Part 8
- 9Introduction to Time Series Data Part 9
02Data Preprocessing for Time Series Model5 videos · 1 free
Time series-specific preprocessing: stationarity tests, differencing, decomposition, and data transformation for modeling.
- 1Data Preprocessing for Time Series Model Part 1
- 2Data Preprocessing for Time Series Model Part 2
- 3Data Preprocessing for Time Series Model Part 3
- 4Data Preprocessing for Time Series Model Part 4
- 5Data Preprocessing for Time Series Model Part 5
03Classical Model5 videos · 1 free
Classical time series models: Moving Average, Exponential Smoothing, ARIMA, and SARIMA for forecasting.
- 1Classical Model Part 1
- 2Classical Model Part 2
- 3Classical Model Part 3
- 4Classical Model Part 4
- 5Classical Model Part 5
04Time Series Part 4 – Machine Learning for Time Series Forecasting4 videos
Applying ML models for forecasting: temporal feature engineering, Random Forest, XGBoost, and comparison with classical models.
- 1Machine Learning for Time Series Forecasting Part 1
- 2Machine Learning for Time Series Forecasting Part 2
- 3Machine Learning for Time Series Forecasting Part 3
- 4Machine Learning for Time Series Forecasting Part 4
05Time Series Part 5 – Exercise and Project Portfolio 91 video
Exercises and time series portfolio project: build an end-to-end forecasting model from data preprocessing to prediction evaluation.
- 1Exercise & Project Portfolio 9
What you'll learn
- 01Introduction to Time Series Data
- 02Data Preprocessing for Time Series
- 03Classical Model
- 04ML for Time Series Forecasting
Who it's for
- Data Scientists needing forecasting
- Analysts in finance/supply chain
Tools you'll use
- Prophet
- Statsmodels
- Python
- Scikit-learn
Portfolio project
The project you'll build.
How to buy
Two ways to open this course.
Take a level package if you want several courses at once, or buy just this course.
With a level package
This course is in each of these packages. A package opens its level and every level below it.
- Intermediate package7 coursesRp 99.000 for 1 month · Rp 399.000 for 12 months
- Advanced package12 coursesRp 129.000 for 1 month · Rp 549.000 for 12 months
Buy just this course
Want more than one Intermediate course? The Intermediate package for 1 month (Rp 99.000) opens 7 courses.
Not sure this is the right level?
Answer four questions about what you already know, then see which level to start at.
Intermediate package, 1 monthRp 99.000